Triple
T6869294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florence, Georgia |
E158496
|
entity |
| Predicate | isInSouthwesternPartOfState |
P7946
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: true | Statement: [Florence, Georgia, isInSouthwesternPartOfState, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInSouthwesternPartOfState Context triple: [Florence, Georgia, isInSouthwesternPartOfState, true]
-
A.
isInSouthernTier
Indicates that one entity is located within the geographic region known as the Southern Tier relative to a larger area or jurisdiction.
-
B.
isInUnitedStatesSouth
Indicates that something is located within the southern region of the United States.
-
C.
isInNorthCentralPartOf
Indicates that one entity is located within the north-central region of another entity.
-
D.
locatedSouthWestOf
chosen
Indicates that one entity is positioned to the southwest of another entity, combining both a southern and western relative location.
-
E.
isCornerCountyOf
Indicates that a county lies at or near the corner where two or more larger administrative regions (such as states or districts) meet.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c68831e3648190a643c328122e4d43 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6da3ce95081909a424ac04bc7fa07 |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b168908190b2f7c724b1bc7fc9 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:22 p.m.